Adversarial Learning for Neural Dialogue Generation (2017 · 1,063 citations)
Neural chatbots trained with maximum likelihood tend to produce bland, repetitive, short-sighted replies. Hand-crafted RL rewards only capture a few chosen qualities. The authors instead take inspiration from the Turing test. A SEQ2SEQ generator is trained jointly with a discriminator, a hierarchical LSTM classifier…
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration (2018 · 119 citations)
The paper tackles a core obstacle in teaching RL agents to operate websites (for example, booking a flight or forwarding an email).

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Adversarial Learning for Neural Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Tianlin Shi, et al.2017 · 1,063 citations
World of Bits: An Open-Domain Platform for Web-Based Agents ↗International Conference on Machine Learning · no summary yetTianlin Shi et al.2017 · 135 citations
Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationarXiv:1802.08802Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.2018 · 119 citations
Learning Where to Sample in Structured Prediction ↗no summary yetTianlin Shi, Jacob Steinhardt, Percy Liang2015 · 15 citations

Co-authors here

9 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 397 times (of the 149,439 papers whose bibliographies we read); 76 citing papers with a page here →.

Updated 2 November 2026